chromium/third_party/tflite/src/tensorflow/lite/tools/optimize/reduced_precision_support.h

/* Copyright 2021 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_LITE_TOOLS_OPTIMIZE_REDUCED_PRECISION_SUPPORT_H_
#define TENSORFLOW_LITE_TOOLS_OPTIMIZE_REDUCED_PRECISION_SUPPORT_H_

#include <string>

#include "tensorflow/compiler/mlir/lite/tools/optimize/reduced_precision_metadata.h"

namespace tflite {
namespace optimize {

inline bool ReadInferenceType(const std::string& metadata, size_t* idx,
                              ReducedPrecisionSupport* mask) { … }

inline bool ReadAccumulationType(const std::string& metadata, size_t* idx,
                                 ReducedPrecisionSupport* mask) { … }

// If the string is valid, set the given mask to indicate the state in
// string and return true. If the string is invalid, return false.
// A valid string is:
// >= 1 valid inference types + accumulation token + 1 valid accumulation type.
// Valid examples would be: "fp16accfp16", "bf16accfp32"
inline bool SetMaskFromReducedPrecisionMetadata(const std::string& metadata,
                                                ReducedPrecisionSupport* mask) { … }

}  // namespace optimize
}  // namespace tflite

#endif  // TENSORFLOW_LITE_TOOLS_OPTIMIZE_REDUCED_PRECISION_SUPPORT_H_